Master of Science in Computer Science and Engineering
University of Chittagong

Bachelor of Science in Computer Science and Engineering
University of Chittagong

Teaching Areas:
Digital Image Processing
Pattern Recognition
Computer Graphics
Algorithms
Data Communication
System Analysis and Design
Data Structure

Research Interest:
•Image Processing
•Deep Learning
•Human Computer Interaction
•Machine Learning

Publications:

1. Tahmina Akter, Muhammad Anwarul Azim and Mohammad Khairul Islam. Gesture Recognition for Interpretation of Bengali Sign Language using Hyper Parameter Tuning Convolution Neural Network. International Journal of Computer Applications 185(13):1-7, June 2023.

2. Sanjoy Barua, Tahmina Akter, Mahmud Abu Saleh Musa and Muhammad Anwarul Azim. A Deep Learning Approach for Urban Sound Classification. International Journal of Computer Applications 185(24):8-14, July 2023.

3. Saznila Islam, Fhamida Akter Nishi, Tahmina Akter and Muhammad Anwarul Azim. Monkeypox Skin Lesion Detection with Deep Learning and Machine Learning. International Journal of Computer Applications 185(23):39-45, July 2023.

4. Tahmina Akter and Muhammad Anwarul Azim. Scene Recognition using Convolution Neural Network. Journal of Port City International University, vol. 11, September 2022.

5. Tahmina Akter, Muhammad Anwarul Azim and Mohammad Khairul Islam. Hand Gesture Recognition for Interpretation of Sign Language. International Conference on Sustainable Development in Technology for 4th Industrial Revolution: pp. 209-213, March 2021.

6. Nasrin Aktar, Muhammad Anwarul Azim, Mohammad Khairul Islam and Tahmina Akter
   .Recognition of Human Iris using Histogram of Oriented Gradients and Support Vector Machine. International Conference on Sustainable Development in Technology for 4th Industrial Revolution: pp. 204–208, March 2021.

7. Aditi Sen, Muhammad Anwarul Azim, Mohammad Khairul Islam and Tahmina Akter. Splitting Based Texture Classification using Local Binary Pattern. International Conference on Sustainable Development in Technology for 4th Industrial Revolution: pp.88–91, March 2021.